弹塑性弹簧网络中的代表体积元素近似值

Sabine Haberland, Patrick Jaap, Stefan Neukamm, Oliver Sander, Mario Varga
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摘要

多尺度建模与仿真》,第 22 卷第 1 期,第 588-638 页,2024 年 3 月。 摘要我们研究了由具有随机材料特性的弹塑性弹簧组成的网络的小应变晶格模型的大尺度行为。我们将该模型表述为一个与进化速率无关的系统。在早先的研究中,我们推导出了一个均质化连续模型,该模型具有线性化弹塑性的形式,当晶格参数趋于零时,它是一个进化[数学]极限。在本文中,我们为均质化系统引入了周期性代表体积元素(RVE)近似。作为主要结果,我们证明了当 RVE 的大小趋于无穷大时 RVE 近似值的收敛性。我们还证明了有效系统的滞应力-应变关系可以借助广义普朗特-伊什林斯基算子来描述,并证明了该算子的周期 RVE 近似值的收敛性。我们将 RVE 近似值与速率无关系统的数值计算方案相结合,得到了一种计算方案,用于在原始网络由二维晶格模型给出的特定情况下对均质化系统进行数值研究。我们模拟了系统对循环和单轴、单调载荷的响应,并对周期性 RVE 近似的收敛速率进行了数值研究。我们的模拟尤其表明,RVE 误差的衰减速度与线性弹性静态情况下的 RVE 误差相同。
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Representative Volume Element Approximations in Elastoplastic Spring Networks
Multiscale Modeling &Simulation, Volume 22, Issue 1, Page 588-638, March 2024.
Abstract. We study the large-scale behavior of a small-strain lattice model for a network composed of elastoplastic springs with random material properties. We formulate the model as an evolutionary rate independent system. In an earlier work we derived a homogenized continuum model, which has the form of linearized elastoplasticity, as an evolutionary [math]-limit as the lattice parameter tends to zero. In the present paper we introduce a periodic representative volume element (RVE) approximation for the homogenized system. As a main result we prove convergence of the RVE approximation as the size of the RVE tends to infinity. We also show that the hysteretic stress-strain relation of the effective system can be described with the help of a generalized Prandtl–Ishlinskii operator, and we prove convergence of a periodic RVE approximation for that operator. We combine the RVE approximation with a numerical scheme for rate-independent systems and obtain a computational scheme that we use to numerically investigate the homogenized system in the specific case when the original network is given by a two-dimensional lattice model. We simulate the response of the system to cyclic and uniaxial, monotonic loading, and numerically investigate the convergence rate of the periodic RVE approximation. In particular, our simulations show that the RVE error decays with the same rate as the RVE error in the static case of linear elasticity.
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